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首页> 外文期刊>International journal of computational intelligence systems >Intelligent Decision Support System for Real-Time Water Demand Management
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Intelligent Decision Support System for Real-Time Water Demand Management

机译：实时需水管理智能决策支持系统

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Environmental and demographic pressures have led to the current importance of Water Demand Management (WDM), where the concepts of efficiency and sustainability now play a key role. Water must be conveyed to where it is needed, in the right quantity, at the required pressure, and at the right time using the fewest resources. This paper shows how modern Artificial Intelligence (AI) techniques can be applied on this issue from a holistic perspective. More specifically, the multi-agent methodology has been used in order to design an Intelligent Decision Support System (IDSS) for real-time WDM. It determines the optimal pumping quantity from the storage reservoirs to the points-of-consumption in an hourly basis. This application integrates advanced forecasting techniques, such as Artificial Neural Networks (ANNs), and other components within the overall aim of minimizing WDM costs. In the tests we have performed, the system achieves a large reduction in these costs. Moreover, the multi-agent environment has demonstrated to propose an appropriate framework to tackle this issue.
机译：环境和人口压力已导致水资源需求管理（WDM）的当前重要性，其中效率和可持续性的概念现在起着关键作用。必须使用最少的资源，以正确的数量，所需的压力和正确的时间将水输送到需要的地方。本文从整体的角度展示了如何在这个问题上应用现代人工智能（AI）技术。更具体地说，已使用多主体方法来设计用于实时WDM的智能决策支持系统（IDSS）。它每小时确定一次从储油罐到消耗点的最佳抽水量。此应用程序集成了先进的预测技术，例如人工神经网络（ANN）和其他组件，以最大限度地降低WDM成本。在我们执行的测试中，系统大大降低了这些成本。此外，多主体环境已经证明可以提出一个适当的框架来解决该问题。

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